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"Senior Cloud Architect - Data Services" Jobs in United States

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Senior Cloud Architect - Data Services

Cloud Data Services ·

SeniorFull-timeRemote

Are you passionate about cutting edge technology? Do you enjoy working with a diverse multinational team of engineering talents? Join our Cloud Data Services Team! Our Cloud Data Services team designs, builds, and operat

Discovered 1 weeks ago

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Senior Cloud Architect - Data Services

Akamai ·

SeniorRemote

Are you passionate about cutting edge technology? Do you enjoy working with a diverse multinational team of engineering talents? Join our Cloud Data Services Team! Our Cloud Data Services team designs, builds, and operat

Discovered 6 days ago

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Lead Senior Security Architect

Cloud Data Services ·

LeadFull-timeRemote

Do you have a passion for Security Compliance? Do you want to help shape the future of security of the internet? Join our Security Compliance and Customer Trust Team! Our team works with engineering, product, and securit

Discovered 2 weeks ago

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Senior Azure Platform & DevOps Engineer

Luxoft ·

SeniorFull-timeOnsite

Project description We are seeking a Senior Azure Platform & DevOps Engineer to design, implement, automate, and support enterprise cloud infrastructure and platform services within Microsoft Azure. This role is responsi

Skills

Required Skills Cloud & Infrastructure • Microsoft Azure • Azure Kubernetes Service (AKS) • Virtual Machines • Azure Storage • Azure Networking • Azure Cache Services • Azure Key Vault • Azure Databricks Container & Platform Technologies • Kubernetes • Docker • Helm • ArgoCD • GitOps methodologies DevOps & Automation • Azure DevOps • GitHub Actions • CI/CD pipeline development • Source control and release management Infrastructure as Code • Terraform • Terragrunt • Infrastructure automation Monitoring & Observability • Azure Monitor • Application Insights • kube-prometheus • Loki • Promtail • Grafana Alloy • Fluentd Programming & Scripting • Python • Bash/Shell scripting Security & Networking • Azure RBAC • Network Security Groups (NSGs) • Virtual Networks (VNets) • Private Endpoints • Firewall configuration • Cloud security best practices ____________________________________ Required Experience • 8+ years of experience designing and supporting Azure infrastructure platforms. • 8+ years of Kubernetes platform administration and engineering experience. • 8+ years working with cloud networking, security, and enterprise infrastructure. • 8+ years supporting containerized application platforms. • 6+ years implementing DevOps practices and CI/CD automation. • 6+ years developing automation solutions with Python, Bash, or similar scripting languages. • 5+ years implementing Infrastructure as Code using Terraform and Terragrunt. • 5+ years supporting observability and monitoring platforms. • 5+ years administering or supporting Azure Databricks environments. • Experience supporting production systems in large-scale enterprise environments. ____________________________________ Preferred Qualifications • Microsoft Azure certifications (Azure Administrator, Azure Solutions Architect, Azure DevOps Engineer). • Certified Kubernetes Administrator (CKA) and/or Certified Kubernetes Application Developer (CKAD). • Experience supporting multi-region and highly available cloud architectures. • Experience implementing site reliability engineering (SRE) practices. • Familiarity with FinOps and cloud cost optimization methodologies. • Experience with enterprise governance, compliance, and security frameworks. • Experience supporting data and analytics platforms. ____________________________________ Education Requirements • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. • Equivalent combination of education and professional experience may be considered. ____________________________________ Success Measures The successful candidate will: • Maintain highly available and secure Azure and Kubernetes platforms. • Improve deployment reliability through automated CI/CD and GitOps processes. • Reduce operational overhead through automation and Infrastructure as Code. • Optimize cloud performance, observability, and cost efficiency. • Provide rapid resolution of production incidents and platform issues. • Drive continuous improvement across cloud, DevOps, security, and platform engineering practices.

Discovered 3 weeks ago

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